Abridge’s Dr. Michal Nedoszytko on Physicians Who Build Software
Wednesday, October 21, 2026
Transcript intelligence
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Source-grounded signals extracted from the episode transcript. Timestamps and supporting excerpts appear when available.
The speaker reports that he used LLMs to conduct pre-visit patient interviews via text message, aiming to transfer patient-reported data directly into the electronic health record to improve visit quality and efficiency.
“I thought, like, why won't I use LLMs to do the pre-anamnesis with the patients? So, uh, my patients received a text message before the visit. They talked with the LLM that asked some pertinent questions, and then I received a summary. The goal was not to replace the anamnesis, but actually to carry the information from the house or, "My wife knows," so from the wife's neural network into the electronic health record. And then when the patient arrived, he was already prepared. He already knew what I will be asking him, and the conversation had a completely different quality”
The speaker reports implementing an LLM-driven pre-visit patient engagement system that collected patient-submitted data via text message to generate EHR summaries, aiming to improve visit quality without replacing the clinical anamnesis.
Dr. Michał Nedoszytko (https://mcdn.podbean.com/mf/web/iwbjnucpwx79gd27/Nedoszytko_bio.pdf), clinician scientist at Abridge and interventional cardiologist, has spent two decades building software alongside clinical practice. He explains how AI can help physicians gather better information before an encounter, improve the quality of conversations with patients, and prototype solutions to problems that clinicians experience every day. Nedoszytko argues that medical training gives physicians lived knowledge that they can bring to building software. Yet he draws a firm distinction between making software and making software safe. In regulated clinical environments, engineers, privacy protections, and rigorous delivery remain indispensable. As AI assumes more analytical and administrative work, he hopes medicine becomes more grounded in its human purpose: clinicians closer to patients, present in the moment, rather than focused on screens and documentation. Transcript. (https://mcdn.podbean.com/mf/web/zabm7jbqita7rmi6/Episode_47_Nedoszytko.pdf)
Show transcript excerpt
Dr. Michał Nedoszytko, clinician scientist at Abridge and interventional cardiologist, has spent two decades building software alongside clinical practice. He explains how AI can help physicians gather better information before an encounter, improve the quality of conversations with patients, and prototype solutions to problems that clinicians experience every day. Nedoszytko argues that medical training gives physicians lived knowledge that they can bring to building software. Yet he draws a firm distinction between making software and making software safe. In regulated clinical environments, engineers, privacy protections, and rigorous delivery remain indispensable. As AI assumes more analytical and administrative work, he hopes medicine becomes more grounded in its human purpose: clinicians closer to patients, present in the moment, rather than focused on screens and documentation. Transcript.
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